AI Impact Compass
Use this interactive compass to track lightweight metrics that show where AI is helping your L&D workflow.
Time
Confidence
Rework
Does the team feel capable?
Are revisions decreasing?
Where are we faster?
Consistency
Quality
Are standards showing up?
Are outputs stronger?
Rework
- Track review rounds, revision time, and repeat feedback themes.
- Watch for hidden issues in polished AI drafts.
- Goal: Fewer fixes after the first pass.
Confidence
- Ask whether the team knows when and how to use AI responsibly.
- Check comfort with guardrails, data safety, and human review.
- Adoption improves when people feel capable, not pressured.
Time
- Track where AI reduces the workflow.
- Examples: First drafts, scenarios, job aids, and feedback summaries.
- Compare before/after estimates, even if they are lightweight.
Consistency
- Look for shared templates, terminology, and structure.
- Use your knowledge vault, prompt patterns, and QA scan.
- Goal: Outputs feel aligned across the team.
Quality
- Check whether outputs are better, the same, or worse.
- Use SME comments, QA checks, accuracy, alignment, and accessibility.
- Speed only counts if quality stays strong.
AI Impact Compass
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Created on May 25, 2026
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Transcript
AI Impact Compass
Use this interactive compass to track lightweight metrics that show where AI is helping your L&D workflow.
Time
Confidence
Rework
Does the team feel capable?
Are revisions decreasing?
Where are we faster?
Consistency
Quality
Are standards showing up?
Are outputs stronger?
Rework
Confidence
Time
Consistency
Quality